Machine Learning Engineer Intern - Remote

Overview

Sayari is seeking a Machine Learning Engineer Intern to join our growing Machine Learning team, where you will develop and enhance machine learning models that power our risk intelligence platform.

In Short

• Develop and improve machine learning models for trade classification, entity classification, and entity resolution
• Implement data preprocessing pipelines and feature engineering techniques
• Evaluate model performance using appropriate metrics and validation techniques
• Collaborate with data engineers to integrate ML models into production systems
• Research and experiment with new machine learning approaches to solve complex problems

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related technical field
• Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Understanding of fundamental machine learning concepts and algorithms
• Experience with data manipulation libraries (pandas, NumPy) and SQL
• Strong analytical and problem-solving skills with excellent communication abilities
• Preferred Qualifications:
• Experience with distributed computing frameworks like Apache Spark
• Familiarity with MLOps tools and practices (MLflow, model versioning, CI/CD for ML)
• Knowledge of natural language processing techniques and graph algorithms
• Experience in performance optimization for machine learning models and pipelines
• Experience working with LLM assistants and tools

Benefits

• Hands-on experience with real-world data on production machine learning systems at scale
• Opportunity to work closely with Data and Product teams
• Contribute to Sayari's mission of enhancing visibility into global commercial and trade networks
• Engage in a supportive and collaborative work culture